Artificial intelligence in tumor subregion analysis based on medical imaging: A review
Mingquan Lin, Jacob Wynne, Boran Zhou, Tonghe Wang, Yang Lei, Walter J. Curran, Tian Liu, Xiaofeng Yang
Abstract
Medical imaging is widely used in the diagnosis and treatment of cancer, and artificial intelligence (AI) has achieved tremendous success in medical image analysis. This paper reviews AI-based tumor subregion analysis in medical imaging. We summarize the latest AI-based methods for tumor subregion analysis and their applications. Specifically, we categorize the AI-based methods by training strategy: supervised and unsupervised. A detailed review of each category is presented, highlighting important contributions and achievements. Specific challenges and potential applications of AI in tumor subregion analysis are discussed.
Topics & Concepts
CategorizationComputer scienceMedical imagingArtificial intelligenceMedical physicsMedicineRadiomics and Machine Learning in Medical ImagingAI in cancer detectionAdvanced X-ray and CT Imaging